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<div class="subTitle">org.apache.commons.math3.ml.clustering</div>
<h2 title="Class KMeansPlusPlusClusterer" class="title">Class KMeansPlusPlusClusterer&lt;T extends <a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterable.html" title="interface in org.apache.commons.math3.ml.clustering">Clusterable</a>&gt;</h2>
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<li><a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html" title="class in org.apache.commons.math3.ml.clustering">org.apache.commons.math3.ml.clustering.Clusterer</a>&lt;T&gt;</li>
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<ul class="inheritance">
<li>org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer&lt;T&gt;</li>
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<dl><dt><span class="strong">Type Parameters:</span></dt><dd><code>T</code> - type of the points to cluster</dd></dl>
<hr>
<br>
<pre>public class <span class="strong">KMeansPlusPlusClusterer&lt;T extends <a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterable.html" title="interface in org.apache.commons.math3.ml.clustering">Clusterable</a>&gt;</span>
extends <a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html" title="class in org.apache.commons.math3.ml.clustering">Clusterer</a>&lt;T&gt;</pre>
<div class="block">Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.</div>
<dl><dt><span class="strong">Since:</span></dt>
  <dd>3.2</dd>
<dt><span class="strong">See Also:</span></dt><dd><a href="http://en.wikipedia.org/wiki/K-means%2B%2B">K-means++ (wikipedia)</a></dd></dl>
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<caption><span>Nested Classes</span><span class="tabEnd">&nbsp;</span></caption>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Class and Description</th>
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<tr class="altColor">
<td class="colFirst"><code>static class&nbsp;</code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.EmptyClusterStrategy.html" title="enum in org.apache.commons.math3.ml.clustering">KMeansPlusPlusClusterer.EmptyClusterStrategy</a></strong></code>
<div class="block">Strategies to use for replacing an empty cluster.</div>
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<h3>Constructor Summary</h3>
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<caption><span>Constructors</span><span class="tabEnd">&nbsp;</span></caption>
<tr>
<th class="colOne" scope="col">Constructor and Description</th>
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<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#KMeansPlusPlusClusterer(int)">KMeansPlusPlusClusterer</a></strong>(int&nbsp;k)</code>
<div class="block">Build a clusterer.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#KMeansPlusPlusClusterer(int,%20int)">KMeansPlusPlusClusterer</a></strong>(int&nbsp;k,
                       int&nbsp;maxIterations)</code>
<div class="block">Build a clusterer.</div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#KMeansPlusPlusClusterer(int,%20int,%20org.apache.commons.math3.ml.distance.DistanceMeasure)">KMeansPlusPlusClusterer</a></strong>(int&nbsp;k,
                       int&nbsp;maxIterations,
                       <a href="../../../../../../org/apache/commons/math3/ml/distance/DistanceMeasure.html" title="interface in org.apache.commons.math3.ml.distance">DistanceMeasure</a>&nbsp;measure)</code>
<div class="block">Build a clusterer.</div>
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</tr>
<tr class="rowColor">
<td class="colOne"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#KMeansPlusPlusClusterer(int,%20int,%20org.apache.commons.math3.ml.distance.DistanceMeasure,%20org.apache.commons.math3.random.RandomGenerator)">KMeansPlusPlusClusterer</a></strong>(int&nbsp;k,
                       int&nbsp;maxIterations,
                       <a href="../../../../../../org/apache/commons/math3/ml/distance/DistanceMeasure.html" title="interface in org.apache.commons.math3.ml.distance">DistanceMeasure</a>&nbsp;measure,
                       <a href="../../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;random)</code>
<div class="block">Build a clusterer.</div>
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</tr>
<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#KMeansPlusPlusClusterer(int,%20int,%20org.apache.commons.math3.ml.distance.DistanceMeasure,%20org.apache.commons.math3.random.RandomGenerator,%20org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy)">KMeansPlusPlusClusterer</a></strong>(int&nbsp;k,
                       int&nbsp;maxIterations,
                       <a href="../../../../../../org/apache/commons/math3/ml/distance/DistanceMeasure.html" title="interface in org.apache.commons.math3.ml.distance">DistanceMeasure</a>&nbsp;measure,
                       <a href="../../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;random,
                       <a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.EmptyClusterStrategy.html" title="enum in org.apache.commons.math3.ml.clustering">KMeansPlusPlusClusterer.EmptyClusterStrategy</a>&nbsp;emptyStrategy)</code>
<div class="block">Build a clusterer.</div>
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<caption><span>Methods</span><span class="tabEnd">&nbsp;</span></caption>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
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<td class="colFirst"><code><a href="http://docs.oracle.com/javase/7/docs/api/java/util/List.html?is-external=true" title="class or interface in java.util">List</a>&lt;<a href="../../../../../../org/apache/commons/math3/ml/clustering/CentroidCluster.html" title="class in org.apache.commons.math3.ml.clustering">CentroidCluster</a>&lt;<a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html" title="type parameter in KMeansPlusPlusClusterer">T</a>&gt;&gt;</code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#cluster(java.util.Collection)">cluster</a></strong>(<a href="http://docs.oracle.com/javase/7/docs/api/java/util/Collection.html?is-external=true" title="class or interface in java.util">Collection</a>&lt;<a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html" title="type parameter in KMeansPlusPlusClusterer">T</a>&gt;&nbsp;points)</code>
<div class="block">Runs the K-means++ clustering algorithm.</div>
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<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.EmptyClusterStrategy.html" title="enum in org.apache.commons.math3.ml.clustering">KMeansPlusPlusClusterer.EmptyClusterStrategy</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#getEmptyClusterStrategy()">getEmptyClusterStrategy</a></strong>()</code>
<div class="block">Returns the <a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.EmptyClusterStrategy.html" title="enum in org.apache.commons.math3.ml.clustering"><code>KMeansPlusPlusClusterer.EmptyClusterStrategy</code></a> used by this instance.</div>
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<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#getK()">getK</a></strong>()</code>
<div class="block">Return the number of clusters this instance will use.</div>
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<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#getMaxIterations()">getMaxIterations</a></strong>()</code>
<div class="block">Returns the maximum number of iterations this instance will use.</div>
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<td class="colFirst"><code><a href="../../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#getRandomGenerator()">getRandomGenerator</a></strong>()</code>
<div class="block">Returns the random generator this instance will use.</div>
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<h3>Methods inherited from class&nbsp;org.apache.commons.math3.ml.clustering.<a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html" title="class in org.apache.commons.math3.ml.clustering">Clusterer</a></h3>
<code><a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html#distance(org.apache.commons.math3.ml.clustering.Clusterable,%20org.apache.commons.math3.ml.clustering.Clusterable)">distance</a>, <a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html#getDistanceMeasure()">getDistanceMeasure</a></code></li>
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<h3>Methods inherited from class&nbsp;java.lang.<a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</a></h3>
<code><a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#clone()" title="class or interface in java.lang">clone</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#equals(java.lang.Object)" title="class or interface in java.lang">equals</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#finalize()" title="class or interface in java.lang">finalize</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#getClass()" title="class or interface in java.lang">getClass</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#hashCode()" title="class or interface in java.lang">hashCode</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#notify()" title="class or interface in java.lang">notify</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#notifyAll()" title="class or interface in java.lang">notifyAll</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#toString()" title="class or interface in java.lang">toString</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait()" title="class or interface in java.lang">wait</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait(long)" title="class or interface in java.lang">wait</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait(long,%20int)" title="class or interface in java.lang">wait</a></code></li>
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<h4>KMeansPlusPlusClusterer</h4>
<pre>public&nbsp;KMeansPlusPlusClusterer(int&nbsp;k)</pre>
<div class="block">Build a clusterer.
 <p>
 The default strategy for handling empty clusters that may appear during
 algorithm iterations is to split the cluster with largest distance variance.
 <p>
 The euclidean distance will be used as default distance measure.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>k</code> - the number of clusters to split the data into</dd></dl>
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<pre>public&nbsp;KMeansPlusPlusClusterer(int&nbsp;k,
                       int&nbsp;maxIterations)</pre>
<div class="block">Build a clusterer.
 <p>
 The default strategy for handling empty clusters that may appear during
 algorithm iterations is to split the cluster with largest distance variance.
 <p>
 The euclidean distance will be used as default distance measure.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>k</code> - the number of clusters to split the data into</dd><dd><code>maxIterations</code> - the maximum number of iterations to run the algorithm for.
   If negative, no maximum will be used.</dd></dl>
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<pre>public&nbsp;KMeansPlusPlusClusterer(int&nbsp;k,
                       int&nbsp;maxIterations,
                       <a href="../../../../../../org/apache/commons/math3/ml/distance/DistanceMeasure.html" title="interface in org.apache.commons.math3.ml.distance">DistanceMeasure</a>&nbsp;measure)</pre>
<div class="block">Build a clusterer.
 <p>
 The default strategy for handling empty clusters that may appear during
 algorithm iterations is to split the cluster with largest distance variance.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>k</code> - the number of clusters to split the data into</dd><dd><code>maxIterations</code> - the maximum number of iterations to run the algorithm for.
   If negative, no maximum will be used.</dd><dd><code>measure</code> - the distance measure to use</dd></dl>
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<pre>public&nbsp;KMeansPlusPlusClusterer(int&nbsp;k,
                       int&nbsp;maxIterations,
                       <a href="../../../../../../org/apache/commons/math3/ml/distance/DistanceMeasure.html" title="interface in org.apache.commons.math3.ml.distance">DistanceMeasure</a>&nbsp;measure,
                       <a href="../../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;random)</pre>
<div class="block">Build a clusterer.
 <p>
 The default strategy for handling empty clusters that may appear during
 algorithm iterations is to split the cluster with largest distance variance.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>k</code> - the number of clusters to split the data into</dd><dd><code>maxIterations</code> - the maximum number of iterations to run the algorithm for.
   If negative, no maximum will be used.</dd><dd><code>measure</code> - the distance measure to use</dd><dd><code>random</code> - random generator to use for choosing initial centers</dd></dl>
</li>
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<a name="KMeansPlusPlusClusterer(int, int, org.apache.commons.math3.ml.distance.DistanceMeasure, org.apache.commons.math3.random.RandomGenerator, org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy)">
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<pre>public&nbsp;KMeansPlusPlusClusterer(int&nbsp;k,
                       int&nbsp;maxIterations,
                       <a href="../../../../../../org/apache/commons/math3/ml/distance/DistanceMeasure.html" title="interface in org.apache.commons.math3.ml.distance">DistanceMeasure</a>&nbsp;measure,
                       <a href="../../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;random,
                       <a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.EmptyClusterStrategy.html" title="enum in org.apache.commons.math3.ml.clustering">KMeansPlusPlusClusterer.EmptyClusterStrategy</a>&nbsp;emptyStrategy)</pre>
<div class="block">Build a clusterer.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>k</code> - the number of clusters to split the data into</dd><dd><code>maxIterations</code> - the maximum number of iterations to run the algorithm for.
   If negative, no maximum will be used.</dd><dd><code>measure</code> - the distance measure to use</dd><dd><code>random</code> - random generator to use for choosing initial centers</dd><dd><code>emptyStrategy</code> - strategy to use for handling empty clusters that
 may appear during algorithm iterations</dd></dl>
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<h4>getK</h4>
<pre>public&nbsp;int&nbsp;getK()</pre>
<div class="block">Return the number of clusters this instance will use.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the number of clusters</dd></dl>
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<pre>public&nbsp;int&nbsp;getMaxIterations()</pre>
<div class="block">Returns the maximum number of iterations this instance will use.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the maximum number of iterations, or -1 if no maximum is set</dd></dl>
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<h4>getRandomGenerator</h4>
<pre>public&nbsp;<a href="../../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;getRandomGenerator()</pre>
<div class="block">Returns the random generator this instance will use.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the random generator</dd></dl>
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<pre>public&nbsp;<a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.EmptyClusterStrategy.html" title="enum in org.apache.commons.math3.ml.clustering">KMeansPlusPlusClusterer.EmptyClusterStrategy</a>&nbsp;getEmptyClusterStrategy()</pre>
<div class="block">Returns the <a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.EmptyClusterStrategy.html" title="enum in org.apache.commons.math3.ml.clustering"><code>KMeansPlusPlusClusterer.EmptyClusterStrategy</code></a> used by this instance.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the <a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.EmptyClusterStrategy.html" title="enum in org.apache.commons.math3.ml.clustering"><code>KMeansPlusPlusClusterer.EmptyClusterStrategy</code></a></dd></dl>
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<a name="cluster(java.util.Collection)">
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<h4>cluster</h4>
<pre>public&nbsp;<a href="http://docs.oracle.com/javase/7/docs/api/java/util/List.html?is-external=true" title="class or interface in java.util">List</a>&lt;<a href="../../../../../../org/apache/commons/math3/ml/clustering/CentroidCluster.html" title="class in org.apache.commons.math3.ml.clustering">CentroidCluster</a>&lt;<a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html" title="type parameter in KMeansPlusPlusClusterer">T</a>&gt;&gt;&nbsp;cluster(<a href="http://docs.oracle.com/javase/7/docs/api/java/util/Collection.html?is-external=true" title="class or interface in java.util">Collection</a>&lt;<a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html" title="type parameter in KMeansPlusPlusClusterer">T</a>&gt;&nbsp;points)
                                                     throws <a href="../../../../../../org/apache/commons/math3/exception/MathIllegalArgumentException.html" title="class in org.apache.commons.math3.exception">MathIllegalArgumentException</a>,
                                                            <a href="../../../../../../org/apache/commons/math3/exception/ConvergenceException.html" title="class in org.apache.commons.math3.exception">ConvergenceException</a></pre>
<div class="block">Runs the K-means++ clustering algorithm.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html#cluster(java.util.Collection)">cluster</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html" title="class in org.apache.commons.math3.ml.clustering">Clusterer</a>&lt;<a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html" title="type parameter in KMeansPlusPlusClusterer">T</a> extends <a href="../../../../../../org/apache/commons/math3/ml/clustering/Clusterable.html" title="interface in org.apache.commons.math3.ml.clustering">Clusterable</a>&gt;</code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>points</code> - the points to cluster</dd>
<dt><span class="strong">Returns:</span></dt><dd>a list of clusters containing the points</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../../org/apache/commons/math3/exception/MathIllegalArgumentException.html" title="class in org.apache.commons.math3.exception">MathIllegalArgumentException</a></code> - if the data points are null or the number
     of clusters is larger than the number of data points</dd>
<dd><code><a href="../../../../../../org/apache/commons/math3/exception/ConvergenceException.html" title="class in org.apache.commons.math3.exception">ConvergenceException</a></code> - if an empty cluster is encountered and the
 <a href="../../../../../../org/apache/commons/math3/ml/clustering/KMeansPlusPlusClusterer.html#emptyStrategy"><code>emptyStrategy</code></a> is set to <code>ERROR</code></dd></dl>
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